Jesse

CS @ UMass Amherst

[Jesse @Merlin1A]

@rand_longevity This is literally not true; ~7% of all of the humans that have ever lived, are alive right now

[Jesse @Merlin1A]

@letsbuilddd @Edybuilds Lift first; when putting on muscle mass, ensure your protein intake is sufficient and do hypertrophy training. You can (and should) mix in some cardio, but keep it capped (no triathalon training). Once you put on the desired mass, you can train cardio more heavily

[Nathaniel Simard @nath_simard]

With the new release of Burn, we introduce a new terminal UI dashboard so that users can follow their training with ease without having to connect to any external application 🔥

[Mckay Wrigley @mckaywrigley]

George Hotz is so based.

[Nathaniel Simard @nath_simard]

Announcing burn-wgpu, the latest cross-platform GPU backend for the burn deep learning framework, leveraging wgpu.

This new backend brings Vulkan, DirectX 11/12, Metal, OpenGL, and WebGPU support, enabling you to deploy your models everywhere! https://t.co/ysxkLfJs1o

[Anthony Levandowski @antlevandowski]

Feels like we are closer to having fully self driving cars than reliable bluetooth car pairing…

[Yann LeCun @ylecun]

Hotter take: ML would have advanced faster if another front-end language had been available and widely adopted instead of Python.
One that is interactive yet fast & compilable, multithreaded (no GIL), isn't bloated, doesn't care about white spaces,...
E.g. Julia or some Lisp.

[Marcus Hutter @mhutter42]

Thought: Excessive marketing is like an arms race and mostly a negative-sum game: If every (US) company halved their marketing budget, no company nor consumer would be worse off, and the savings and freed labor used productively could easily solve world poverty&hunger&more.

[Rinat Abdullin @abdullin]

Here is why @tenstorrent is huge. (1) They are building a stack of software AND hardware tailored for AI workloads. (2) Good balance of general-purpose compute and accelerators. Better than most GPUs/TPUs. (3) Structure is right. Work transparently scales across 10k cores.